Instructions to use GMorgulis/deepseek-llm-7b-chat-tiger_lora_sgd3e1-STEER0.2875-ft4.42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GMorgulis/deepseek-llm-7b-chat-tiger_lora_sgd3e1-STEER0.2875-ft4.42 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GMorgulis/deepseek-llm-7b-chat-tiger_lora_sgd3e1-STEER0.2875-ft4.42", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99eb0a1e694e33a9c193923d39251087cf38f397f15a303da2adfe956ad915ae
- Size of remote file:
- 5.91 kB
- SHA256:
- 9294df21da1305f77352a28fcc0b1ea57e5aa43d3238ce409a52bff90950d2b3
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